Lan Fu
Impact in
- Toxicology top 10%
- Bioactive Compounds and Antitumor Agents
Papers in
- Oncology 14
- Cancer survivorship and care 10
- Lymphatic System and Diseases 3
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- Cell death mechanisms and regulation 3
- Co-authors
- Tao Lin (11 shared papers)Junying Li (7 shared papers)Wei Tian (4 shared papers)Huaying Chen (3 shared papers)Danrong Li (5 shared papers)Huiqiong Xu (1 shared paper)Rong Deng (1 shared paper)Mei Feng (1 shared paper)
- Journals
- Journal of Clinical Nursing (3 papers)BMJ Open (2 papers)Medicine (1 paper)International Journal of Nursing Studies (1 paper)Journal of Medical Primatology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Lan Fu
33 papers receiving 432 citations
Peers
Comparison fields: 5 of 95
- Research and Theory 5
- Toxicology 20
- Clinical Psychology 90
- Oncology 98
- Emergency Medical Services 12
Countries citing papers authored by Lan Fu
This map shows the geographic impact of Lan Fu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lan Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Fu more than expected).
Fields of papers citing papers by Lan Fu
This network shows the impact of papers produced by Lan Fu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lan Fu. The network helps show where Lan Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 139 | |
| 2 | 2018 | 45 | |
| 3 | 2019 | 39 | |
| 4 | 2023 | 28 | |
| 5 | 2018 | 21 | |
| 6 | 2024 | 15 | |
| 7 | 2019 | 15 | |
| 8 | 2022 | 15 | |
| 9 | 2020 | 15 | |
| 10 | 2023 | 13 | |
| 11 | 2024 | 11 | |
| 12 | 2017 | 11 | |
| 13 | 2017 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2024 | 8 | |
| 16 | 2024 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2025 | 4 | |
| 20 | 2023 | 4 |
About Lan Fu
Lan Fu is a scholar working on Oncology, Molecular Biology, Surgery, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 33 papers that have together received 439 indexed citations. Recurring topics across this work include Cancer survivorship and care (10 papers), Cell death mechanisms and regulation (3 papers), Lymphatic System and Diseases (3 papers), Central Venous Catheters and Hemodialysis (2 papers), Bioactive Compounds and Antitumor Agents (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers), Fungal Biology and Applications (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Research and Theory (5 citations), Toxicology (20 citations), Clinical Psychology (90 citations), Oncology (98 citations) and Emergency Medical Services (12 citations). Lan Fu has collaborated with scholars based in China and United States. Frequent co-authors include Tao Lin, Junying Li, Wei Tian, Huaying Chen, Danrong Li, Huiqiong Xu, Rong Deng, Mei Feng, Xu Zheng and Yuhong Zhou. Their work appears in journals such as Journal of Clinical Nursing, BMJ Open, Medicine, International Journal of Nursing Studies and Journal of Medical Primatology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.